PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (501 utterances, 2,056 words searched).

  1. who was at the party ? MOT · eng_british_Manchester_II/nic32b.cha, line 283 · Nicole 2;11
  2. who am I to argue ? MOT · eng_british_Manchester_II/nic32b.cha, line 391 · Nicole 2;11
  3. who was there ? MOT · eng_british_Manchester_II/nic32b.cha, line 455 · Nicole 2;11
  4. and who else wasn't there then ? MOT · eng_british_Manchester_II/nic32b.cha, line 477 · Nicole 2;11
  5. see who's flying it ? MOT · eng_british_Manchester_II/nic32b.cha, line 740 · Nicole 2;11
  6. who's flying this one ? MOT · eng_british_Manchester_II/nic32b.cha, line 758 · Nicole 2;11
  7. I don't know who that is . MOT · eng_british_Manchester_II/nic32b.cha, line 1199 · Nicole 2;11
  8. I don't know who that is either . MOT · eng_british_Manchester_II/nic32b.cha, line 1203 · Nicole 2;11
  9. I only know who Captain_Coconut is . MOT · eng_british_Manchester_II/nic32b.cha, line 1211 · Nicole 2;11
  10. so if we join the dots we'll find out who it is on there , willn't we ? MOT · eng_british_Manchester_II/nic32b.cha, line 1252 · Nicole 2;11
  1. MOTI thought you had something to eat .
    MOThmm ?
    MOT*MOT: who was at the party ?
    CHIxxx .
    MOTthink I'd better turn this off if you're gonna [: going to] be like that .
  2. MOTalright then .
    MOTit's wet .
    MOT*MOT: who am I to argue ?
    CHIbecause that is off now .
    MOTlet's wipe your nose .
  3. CHINicole just didn't .
    MOTdidn't .
    MOT*MOT: who was there ?
    MOTcan you remember ?
    CHIno .
  4. MOTwas he ?
    CHIno .
    MOT*MOT: and who else wasn't there then ?
    CHInothing .
    MOToh .
  5. MOTright .
    MOTshall we follow it ?
    MOT*MOT: see who's flying it ?
    CHIyeah .
    MOTright .
  6. MOThe's flying that kite .
    MOTso .
    MOT*MOT: who's flying this one ?
    MOTround we go .
    MOTround +...
  7. MOTthat's Captain_Coconut .
    CHIand what 0is [*] that ?
    MOT*MOT: I don't know who that is .
    CHIand what 0is [*] that ?
    MOTI don't know who that is either .
  8. MOTI don't know who that is .
    CHIand what 0is [*] that ?
    MOT*MOT: I don't know who that is either .
    MOTdon't ask me because I don't know .
    CHIand what 0is [*] that ?
  9. MOTdon't ask me because I don't know .
    CHIand what 0is [*] that ?
    MOT*MOT: I only know who Captain_Coconut is .
    CHIand what 0is [*] that ?
    MOTthat looked like a [/] a turkey actually .
  10. MOTI want to do join that dot+the+dot .
    MOTit says join the dots and reveal one of the crew .
    MOT*MOT: so if we join the dots we'll find out who it is on there , willn't we ?
    CHIthat one ?
    CHIthat one ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Nicole eng_british_Manchester_II4.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32b.chaNicole 2;11.182,05610104.86

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. who10 · 100.0%